Lavinia Socaciu
Papers
1
Total Citations
6
H-Index
1
About
Dr. Lavinia Socaciu has made significant contributions to the field of industrial engineering and decision science, with a particular focus on optimizing complex selection processes in specialized manufacturing environments. Her key research areas include multi-criteria decision-making (MCDM) methods, industrial automation, and the application of the Analytic Hierarchy Process (AHP) in high-stakes industries. Dr. Socaciu’s most notable work, “The Selection of Industrial Robots for Military Industry Using AHP Method: A Case Study” (2018, 6 citations), addresses the critical challenge of choosing the most suitable robotic systems for defense applications. By systematically evaluating factors such as structural configuration and automation degree, she provides a robust framework that enhances efficiency and precision in military manufacturing. This research not only demonstrates her expertise in applying mathematical models to real-world problems but also underscores her impact on improving decision-making in sensitive sectors. Dr. Socaciu’s work serves as a valuable resource for engineers and researchers seeking to integrate analytical rigor into industrial robot selection, highlighting her role as a thoughtful contributor to both academic literature and practical engineering solutions.
Research Focus
Key Achievements
Top Papers
- 1